What users are saying about
29 Ratings
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Score 8.3 out of 100
12 Ratings
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Score 8.6 out of 100

Likelihood to Recommend

Databricks Lakehouse Platform

Databricks has helped my teams write PySpark and Spark SQL jobs and test them out before formally integrating them in Spark jobs. Through Databricks we can create parquet and JSON output files. Datamodelers and scientists who are not very good with coding can get good insight into the data using the notebooks that can be developed by the engineers.
Anonymous | TrustRadius Reviewer

DataStax

Datastax Cassandra is a Java based linearly scalable NoSQL database, best-in-class tunable performance, fault tolerant, distributed, masterless, time series database and has easy-to-use administration and monitoring functionality with opscenter. Configured correctly there is no downtime and no data loss. The documentation is exhaustive, and the community is agile and supportive, and Datastax provides good support. For all these reasons, Datastax Cassandra has become a NoSQL technology of choice for many platforms.However it has some time investment on infrastructure and regular operational tasks, and if you do not have bandwidth for it, a managed NoSQL solution like DynamoDB might be more appropriate. Also if you have search needs on Cassandra and do not have corresponding Spark/Solr setup, Datastax Cassandra might not be ideal for you.
Anonymous | TrustRadius Reviewer

Pros

Databricks Lakehouse Platform

  • It supports all data science programming languages like Python and R
  • it takes very few minutes to deploy models into production
  • it has tools that ensures collaborations between developers
Kofi Joshua | TrustRadius Reviewer

DataStax

  • Scalability: it provides near linear scalability being based on open source Cassandra
  • Opscenter: it is a powerful and complete tool for monitoring
  • You can use Spark for analytics workloads
Anonymous | TrustRadius Reviewer

Cons

Databricks Lakehouse Platform

  • Better Localized Testing
  • When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
  • Graphing Support went non-existent; when it was one of their compelling general engine.
Anonymous | TrustRadius Reviewer

DataStax

  • Support for aggregation functions is still limited.
Robert Xu | TrustRadius Reviewer

Likelihood to Renew

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

DataStax

DataStax 7.7
Based on 3 answers
Based on my experience with Datastax Cassandra.
Anonymous | TrustRadius Reviewer

Usability

Databricks Lakehouse Platform

Databricks Lakehouse Platform 9.0
Based on 1 answer
This has been very useful in my organization for shared notebooks, integrated data pipeline automation and data sources integrations. Integration with AWS is seamless. Non tech users can easily learn how to use Databricks. You can have your company LDAP connect to it for login based access controls to some extent
Anonymous | TrustRadius Reviewer

DataStax

No score
No answers yet
No answers on this topic

Alternatives Considered

Databricks Lakehouse Platform

I also use Microsoft Azure Machine Learning in parallel with Databricks. They use different file formats which teach me to be flexible and able to write different programs. They are equally useful to me and I would like to master both platforms for any future usage. I do prefer Databricks because it could be free if I decided to go with the Databricks Community Edition only.
Ann Le | TrustRadius Reviewer

DataStax

We chose datastax because we need a system always available and capable of ingesting a large amount of data per second, even if eventually consistent and with multi data center sync native support.We considered Cloudera as an alternative using Kafka as the ingestion layer but we were not completely satisfied with the multi data center support.
Anonymous | TrustRadius Reviewer

Return on Investment

Databricks Lakehouse Platform

  • Rapid growth of analytics within our company.
  • Cost model aligns with usage allowing us to make a reasonable initial investment and scale the cost as we realize the value.
  • Platform is easy to learn and Databricks provides excellent support and training.
  • Platform does not require a large DevOPs investment
Anonymous | TrustRadius Reviewer

DataStax

  • Almost zero downtime, best for business continuity.
  • Easy to do maintenance online.
Robert Xu | TrustRadius Reviewer

Pricing Details

Databricks Lakehouse Platform

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Databricks Lakehouse Platform Editions & Modules

Edition
Standard$0.071
Premium$0.101
Enterprise$0.131
  1. Per DBU
Additional Pricing Details

DataStax

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

DataStax Editions & Modules

Additional Pricing Details

Add comparison